Our purpose is to annually update our creep-data archive on San Francisco Bay region active faults for use by the scientific research community. Earlier data (1979-2001) were reported in Galehouse (2002) and were analyzed and described in detail in a summary report (Galehouse and Lienkaemper, 2003). A complete analysis of our earlier results obtained on the Hayward Fault was presented in Lienkaemper, Galehouse and Simpson (2001) and updated in Lienkaemper and others (2012). Lienkaemper and others (2014) provide a new overview and analysis of fault creep along all sections of the northern San Andreas Fault system, from which they estimate by how much fault creep reduces the seismic hazard for each fault section.
From 1979 until his retirement from the project in 2001, Jon Galehouse of San Francisco State University (SFSU) and many student research assistants measured creep (aseismic slip) rates on these faults. The creep measurement project, which was initiated by Galehouse, continued through the Geosciences Department at SFSU from 2001-2006 under the direction of Karen Grove and John Caskey (Grove and Caskey, 2005) and since 2006 under Caskey (2007). Forrest McFarland has managed most of the technical and logistical project operations, as well as data processing and compilation since 2001. Data from 2001-2007 are found in McFarland and others (2007). From 2009 onward, we have released the raw data annually using this report (OF2009-1119) as a permanent publication link, while publishing more detailed analyses of these data in the scientific literature, such as Lienkaemper and others (2014).
We maintain a project Web site (http://funnel.sfsu.edu/creep/) that includes the following information: project description, project personnel, creep characteristics and measurement, map of creep-measurement sites, creep-measurement site information, and links to data plots for each measurement site. Our most current, annually updated results are, therefore, accessible to the scientific community and to the general public. Information about the project can currently be requested by the public by an email link (fltcreep@sfsu.edu) found on our project Web site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091119","usgsCitation":"McFarland, F., Lienkaemper, J.J., and Caskey, S.J., 2009, Data from theodolite measurements of creep rates on San Francisco Bay region faults, California (Version 1.0: July 8, 2009; Version 1.1: April 19, 2010; Version 1.2: May 5, 2011; Version 1.3: April 19, 2012; Version 1.4: March 20, 2013; Version 1.5: February 3, 2014; Version 1.6: March 16, 2015; Version 1.8: March 29, 2016): U.S. Geological Survey Open-File Report 2009-1119, Report: 21 p.; Data Files, https://doi.org/10.3133/ofr20091119.","productDescription":"Report: 21 p.; Data Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1979-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":369532,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2009/1119/data","text":"Data folder"},{"id":269859,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1119/ofr20091119.pdf","text":"Report","size":"2.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2009-1119"},{"id":394202,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86844.htm"},{"id":369531,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2009/1119/versionhistory.txt","size":"1.86 KB"},{"id":118504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2009/1119/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.8,\n 36.8\n ],\n [\n -121.0722,\n 36.8\n ],\n [\n -121.0722,\n 39.8\n ],\n [\n -123.8,\n 39.8\n ],\n [\n -123.8,\n 36.8\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: July 8, 2009; Version 1.1: April 19, 2010; Version 1.2: May 5, 2011; Version 1.3: April 19, 2012; Version 1.4: March 20, 2013; Version 1.5: February 3, 2014; Version 1.6: March 16, 2015; Version 1.8: March 29, 2016","contact":"Earthquake Science Center in Menlo Park, California
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
Habitat modeling is an important tool used to simulate the potential distribution of a species for a variety of basic and applied questions. The desert tortoise (Gopherus agassizii) is a federally listed threatened species in the Mojave Desert and parts of the Sonoran Desert of California, Nevada, Utah, and Arizona. Land managers in this region require reliable information about the potential distribution of desert tortoise habitat to plan conservation efforts, guide monitoring activities, monitor changes in the amount and quality of habitat available, minimize and mitigate disturbances, and ultimately to assess the status of the tortoise and its habitat toward recovery of the species. By applying information from the literature and our knowledge or assumptions of environmental variables that could potentially explain variability in the quality of desert tortoise habitat, we developed a quantitative habitat model for the desert tortoise using an extensive set of field-collected presence data. Sixteen environmental data layers were converted into a grid covering the study area and merged with the desert tortoise presence data that we gathered for input into the Maxent habitat-modeling algorithm. This model provides output of the statistical probability of habitat potential that can be used to map potential areas of desert tortoise habitat. This type of analysis, while robust in its predictions of habitat, does not account for anthropogenic changes that may have altered habitat with relatively high potential into areas with lower potential.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091102","collaboration":"Prepared as a part of the Department of the Interior on the Landscape - Mojave Project for the Western Region, of the U.S. Geological Survey ","usgsCitation":"Nussear, K.E., Esque, T.C., Inman, R.D., Gass, Leila, Thomas, K.A., Wallace, C.S.A., Blainey, J.B., Miller, D.M., and Webb, R.H., 2009, Modeling habitat of the desert tortoise (Gopherus agassizii) in the Mojave and parts of the Sonoran Deserts of California, Nevada, Utah, and Arizona: U.S. Geological Survey Open-File Report 2009-1102, 18 p.","productDescription":"Report: iv, 18 p.; 2 Companion Files","numberOfPages":"18","additionalOnlineFiles":"Y","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":367969,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2009/1102/ofr20091102_dt_Habitat_Model.zip","size":"162 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Habitat Model"},{"id":195896,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2009/1102/coverthb.gif"},{"id":367970,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2009/1102/ofr20091102_Environmental_Layers.zip","size":"27.4 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Environmental Layers"},{"id":367968,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1102/ofr20091102.pdf","text":"Report","size":"1.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2009-1102"}],"country":"United States","state":"California, Nevada, Utah, Arizona","otherGeospatial":"Mojave Desert, Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.30029296875,\n 32.76880048488168\n ],\n [\n -109.2919921875,\n 32.76880048488168\n ],\n [\n -109.2919921875,\n 39.2492708462234\n ],\n [\n -120.30029296875,\n 39.2492708462234\n ],\n [\n -120.30029296875,\n 32.76880048488168\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Modoc Hall, Room 3006
Sacramento, CA 95819
The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance and quality-control data were stored in the laboratory's Lab Master data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality control samples analyzed from July 2003 through June 2005.
Results for the quality-control samples for 20 analytical procedures were evaluated for bias and precision. Control charts indicate that data for five of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, pH, silicon, and sodium. Seven of the analytical procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits; these procedures were: dissolved organic carbon, chloride, nitrate (ion chromatograph), nitrite, silicon, sodium, and sulfate. The calcium and magnesium procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The total aluminum and specific conductance procedures were biased for the high-concentration and low-concentration samples, but were within control limits.
Results from the filter-blank and analytical-blank analyses indicate that the procedures for 17 of 18 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for dissolved organic carbon.
Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 18 of the 22 analytes. At least 85 percent of the samples met data-quality objectives for all analytes except total monomeric aluminum (82 percent of samples met objectives), total aluminum (77 percent of samples met objectives), chloride (80 percent of samples met objectives), fluoride (76 percent of samples met objectives), and nitrate (ion chromatograph) (79 percent of samples met objectives). The ammonium and total dissolved nitrogen did not meet the data-quality objectives.
Results of the USGS interlaboratory Standard Reference Sample (SRS) Project indicated good data quality over the time period, with ratings for each sample in the satisfactory, good, and excellent ranges or less than 10 percent error. The P-sample (low-ionic-strength constituents) analysis had one marginal and two unsatisfactory ratings for the chloride procedure. The T-sample (trace constituents)analysis had two unsatisfactory ratings and one high range percent error for the aluminum procedure. The N-sample (nutrient constituents) analysis had one marginal rating for the nitrate procedure.
Results of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 84 percent of the samples met data-quality objectives for 11 of the 14 analytes; the exceptions were ammonium, total aluminum, and acid-neutralizing capacity. The ammonium procedure did not meet data quality objectives in all studies. Data-quality objectives were not met in 23 percent of samples analyzed for total aluminum and 45 percent of samples analyzed acid-neutralizing capacity.
Results from blind reference-sample analyses indicated that data-quality objectives were met by at least 86 percent of the samples analyzed for calcium, chloride, fluoride, magnesium, pH, potassium, sodium, and sulfate. Data-quality objectives were not met by samples analyzed for fluoride.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091233","usgsCitation":"Lincoln, T.A., Horan-Ross, D.A., McHale, M.R., and Lawrence, G.B., 2009, Quality-assurance data for routine water analyses by the U.S. Geological Survey laboratory in Troy, New York - July 2003 through June 2005: U.S. Geological Survey Open-File Report 2009-1233, iv, 35 p., https://doi.org/10.3133/ofr20091233.","productDescription":"iv, 35 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-07-01","temporalEnd":"2005-06-30","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125646,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1233.jpg"},{"id":13348,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1233/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c59c","contributors":{"authors":[{"text":"Lincoln, Tricia A. tarenga@usgs.gov","contributorId":3803,"corporation":false,"usgs":true,"family":"Lincoln","given":"Tricia","email":"tarenga@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horan-Ross, Debra A. dhross@usgs.gov","contributorId":3809,"corporation":false,"usgs":true,"family":"Horan-Ross","given":"Debra","email":"dhross@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McHale, Michael R. 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":1735,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304234,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98109,"text":"ofr20091234 - 2009 - Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York - July 2005 through June 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ofr20091234","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1234","title":"Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York - July 2005 through June 2007","docAbstract":"The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance and quality-control data were stored in the laboratory's Lab Master data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality control samples analyzed from July 2005 through June 2007.\r\n\r\nResults for the quality-control samples for 19 analytical procedures were evaluated for bias and precision. Control charts indicate that data for eight of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: total aluminum, calcium, magnesium, nitrate (colorimetric method), potassium, silicon, sodium, and sulfate. Eight of the analytical procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits; these procedures were: total aluminum, calcium, dissolved organic carbon, chloride, nitrate (ion chromatograph), potassium, silicon, and sulfate. The magnesium and pH procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The acid-neutralizing capacity, total monomeric aluminum, nitrite, and specific conductance procedures were biased for the high-concentration and low-concentration samples, but were within control limits.\r\n\r\nResults from the filter-blank and analytical-blank analyses indicated that the procedures for 16 of 17 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for dissolved organic carbon.\r\n\r\nSampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 18 of the 21 analytes. At least 93 percent of the samples met data-quality objectives for all analytes except acid-neutralizing capacity (85 percent of samples met objectives), total monomeric aluminum (83 percent of samples met objectives), total aluminum (85 percent of samples met objectives), and chloride (85 percent of samples met objectives). The ammonium and total dissolved nitrogen did not meet the data-quality objectives.\r\n\r\nResults of the USGS interlaboratory Standard Reference Sample (SRS) Project met the Troy Laboratory data-quality objectives for 87 percent of the samples analyzed. The P-sample (low-ionic-strength constituents) analysis had two outliers each in two studies. The T-sample (trace constituents) analysis and the N-sample (nutrient constituents) analysis had one outlier each in two studies.\r\n\r\nResults of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 85 percent of the samples met data-quality objectives for 11 of the 14 analytes; the exceptions were acid-neutralizing capacity, total aluminum and ammonium. Data-quality objectives were not met in 41 percent of samples analyzed for acid-neutralizing capacity, 50 percent of samples analyzed for total aluminum, and 44 percent of samples analyzed for ammonium.\r\n\r\nResults from blind reference-sample analyses indicated that data-quality objectives were met by at least 86 percent of the samples analyzed for calcium, magnesium, pH, potassium, and sodium. Data-quality objectives were met by 76 percent of the samples analyzed for chloride, 80 percent of the samples analyzed for specific conductance, and 77 percent of the samples analyzed for sulfate. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091234","usgsCitation":"Lincoln, T.A., Horan-Ross, D.A., McHale, M.R., and Lawrence, G.B., 2009, Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York - July 2005 through June 2007: U.S. Geological Survey Open-File Report 2009-1234, iv, 35 p., https://doi.org/10.3133/ofr20091234.","productDescription":"iv, 35 p.","onlineOnly":"N","temporalStart":"2005-07-01","temporalEnd":"2007-06-30","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1234.jpg"},{"id":13347,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1234/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b14e","contributors":{"authors":[{"text":"Lincoln, Tricia A. tarenga@usgs.gov","contributorId":3803,"corporation":false,"usgs":true,"family":"Lincoln","given":"Tricia","email":"tarenga@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horan-Ross, Debra A. dhross@usgs.gov","contributorId":3809,"corporation":false,"usgs":true,"family":"Horan-Ross","given":"Debra","email":"dhross@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McHale, Michael R. 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":1735,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304196,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98118,"text":"ofr20091257 - 2009 - Groundwater Quality in Central New York, 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20091257","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1257","title":"Groundwater Quality in Central New York, 2007","docAbstract":"Water samples were collected from 7 production wells and 28 private residential wells in central New York from August through December 2007 and analyzed to characterize the chemical quality of groundwater. Seventeen wells are screened in sand and gravel aquifers, and 18 are finished in bedrock aquifers. The wells were selected to represent areas of greatest groundwater use and to provide a geographical sampling from the 5,799-square-mile study area. Samples were analyzed for 6 physical properties and 216 constituents, including nutrients, major inorganic ions, trace elements, radionuclides, pesticides, volatile organic compounds, phenolic compounds, organic carbon, and 4 types of bacteria.\r\n\r\nResults indicate that groundwater used for drinking supply is generally of acceptable quality, although concentrations of some constituents or bacteria exceeded at least one drinking-water standard at several wells. The cations detected in the highest concentrations were calcium, magnesium, and sodium; anions detected in the highest concentrations were bicarbonate, chloride, and sulfate. The predominant nutrients were nitrate and ammonia, but no nutrients exceeded Maximum Contaminant Levels (MCLs). The trace elements barium, boron, lithium, and strontium were detected in every sample; the trace elements present in the highest concentrations were barium, boron, iron, lithium, manganese, and strontium. Fifteen pesticides, including seven pesticide degradates, were detected in water from 17 of the 35 wells, but none of the concentrations exceeded State or Federal MCLs. Sixteen volatile organic compounds were detected in water from 15 of the 35 wells.\r\n\r\nNine analytes and three types of bacteria were detected in concentrations that exceeded Federal and State drinking-water standards, which typically are identical. One sample had a water color that exceeded the U.S. Environmental Protection Agency (USEPA) Secondary Maximum Contaminant Level (SMCL) and the New York State MCL of 10 color units. Sulfate concentrations exceeded the USEPA SMCL and the New York State MCL of 250 milligrams per liter (mg/L) in two samples, and chloride concentrations exceeded the USEPA SMCL and the New York State MCL of 250 mg/L in two samples. Sodium concentrations exceeded the USEPA Drinking Water Health Advisory of 60 mg/L in eight samples. Iron concentrations exceeded the USEPA SMCL and the New York State MCL of 300 micrograms per liter (ug/L) in 10 filtered samples. Manganese exceeded the USEPA SMCL of 50 ug/L in 10 filtered samples and the New York State MCL of 300 ug/L in 1 filtered sample. Barium exceeded the MCL of 2,000 ug/L in one sample, and aluminum exceeded the SMCL of 50 ug/L in three samples. Radon-222 exceeded the proposed USEPA MCL of 300 picocuries per liter in 12 samples. One sample from a private residential well had a trichloroethene concentration of 50.8 ug/L, which exceeded the MCL of 5 ug/L. Any detection of coliform bacteria indicates a potential violation of New York State health regulations; total coliform bacteria were detected in 19 samples, and fecal coliform bacteria were detected in one sample. The plate counts for heterotrophic bacteria exceeded the MCL (500 colony-forming units per milliliter) in three samples.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091257","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Eckhardt, D., Reddy, J., and Shaw, S.B., 2009, Groundwater Quality in Central New York, 2007: U.S. Geological Survey Open-File Report 2009-1257, vi, 39 p., https://doi.org/10.3133/ofr20091257.","productDescription":"vi, 39 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-08-01","temporalEnd":"2007-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125636,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1257.jpg"},{"id":13358,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1257/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,42 ], [ -78,44 ], [ -75,44 ], [ -75,42 ], [ -78,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a90e4b07f02db655990","contributors":{"authors":[{"text":"Eckhardt, David A.V.","contributorId":80233,"corporation":false,"usgs":true,"family":"Eckhardt","given":"David A.V.","affiliations":[],"preferred":false,"id":304223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reddy, J.E.","contributorId":32943,"corporation":false,"usgs":true,"family":"Reddy","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":304221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaw, Stephen B.","contributorId":40700,"corporation":false,"usgs":true,"family":"Shaw","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":304222,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98124,"text":"ofr20091266 - 2009 - Constructing Uniform Resource Locators (URLs) for Searching the Marine Realms Information Bank","interactions":[],"lastModifiedDate":"2012-02-02T00:14:55","indexId":"ofr20091266","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1266","title":"Constructing Uniform Resource Locators (URLs) for Searching the Marine Realms Information Bank","docAbstract":"The Marine Realms Information Bank (MRIB) is a digital library that provides access to free online scientific information about the oceans and coastal regions. To search its collection, MRIB uses a Common Gateway Interface (CGI) program, which allows automated search requests using Uniform Resource Locators (URLs). This document provides an overview of how to construct URLs to execute MRIB queries. The parameters listed allow detailed control of which records are retrieved, how they are returned, and how their display is formatted.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091266","usgsCitation":"Linck, G.A., Allwardt, A., and Lightsom, F.L., 2009, Constructing Uniform Resource Locators (URLs) for Searching the Marine Realms Information Bank: U.S. Geological Survey Open-File Report 2009-1266, iii, 14 p., https://doi.org/10.3133/ofr20091266.","productDescription":"iii, 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":125639,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1266.jpg"},{"id":13364,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1266/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a2942","contributors":{"authors":[{"text":"Linck, Guthrie A.","contributorId":52263,"corporation":false,"usgs":true,"family":"Linck","given":"Guthrie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allwardt, Alan O.","contributorId":22051,"corporation":false,"usgs":true,"family":"Allwardt","given":"Alan O.","affiliations":[],"preferred":false,"id":304245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lightsom, Frances L. 0000-0003-4043-3639 flightsom@usgs.gov","orcid":"https://orcid.org/0000-0003-4043-3639","contributorId":1535,"corporation":false,"usgs":true,"family":"Lightsom","given":"Frances","email":"flightsom@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98108,"text":"ofr20091228 - 2009 - Logs of paleoseismic excavations across the Central Range Fault, Trinidad","interactions":[],"lastModifiedDate":"2019-07-18T08:04:18","indexId":"ofr20091228","displayToPublicDate":"2010-01-15T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1228","title":"Logs of paleoseismic excavations across the Central Range Fault, Trinidad","docAbstract":"This publication makes available maps and trench logs associated with studies of the Central Range Fault, part of the South American-Caribbean plate boundary in Trinidad. Our studies were conducted in 2001 and 2002. \r\n\r\nWe mapped geomorphic features indicative of active faulting along the right-lateral, Central Range Fault, part of the South American-Caribbean plate boundary in Trinidad. We excavated trenches at two sites, the Samlalsingh and Tabaquite sites. At the Samlalsingh site, sediments deposited after the most recent fault movement bury the fault, and the exact location of the fault was unknown until we exposed it in our excavations. At this site, we excavated a total of eleven trenches, six of which exposed the fault. The trenches exposed fluvial sediments deposited over a strath terrace developed on Miocene bedrock units. \r\n\r\nWe cleaned the walls of the excavations, gridded the walls with either 1 m X 1 m or 1 m X 0.5 m nail and string grid, and logged the walls in detail at a scale of 1:20. Additionally, we described the different sedimentary units in the field, incorporating these descriptions into our trench logs. We mapped the locations of the trenches using a tape and compass. \r\n\r\nOur field logs were scanned, and unit contacts were traced in Adobe Illustrator. The final drafted logs of all the trenches are presented here, along with photographs showing important relations among faults and Holocene sedimentary deposits. Logs of south walls were reversed in Illustrator, so that all logs are drafted with the view direction to the north. We collected samples of various materials exposed in the trench walls, including charcoal samples for radiocarbon dating from both faulted and unfaulted deposits. The locations of all samples collected are shown on the logs. The ages of seventeen of the charcoal samples submitted for radiocarbon analysis at the University of Arizona Accelerator Mass Spectrometry Laboratory in Tucson, Ariz., are given in Table 1. Samples found in Table 1 are shown in red on the trench logs. All radiocarbon ages are calibrated and given with 2 standard deviation age ranges. \r\n\r\nOur studies suggest that the Central Range Fault is a Holocene fault capable of producing damaging earthquakes in Trinidad\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091228","usgsCitation":"Crosby, C.J., Prentice, C.S., Weber, J., and Ragona, D., 2009, Logs of paleoseismic excavations across the Central Range Fault, Trinidad: U.S. Geological Survey Open-File Report 2009-1228, 2 Plates: 56 x 40 inches and 58 x 42 inches, https://doi.org/10.3133/ofr20091228.","productDescription":"2 Plates: 56 x 40 inches and 58 x 42 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":235,"text":"Earthquake Hazards Program - Northern California","active":false,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":125632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1228.jpg"},{"id":13342,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1228/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6ae4b07f02db63c6a1","contributors":{"authors":[{"text":"Crosby, Christopher J. 0000-0003-2522-4193","orcid":"https://orcid.org/0000-0003-2522-4193","contributorId":68415,"corporation":false,"usgs":true,"family":"Crosby","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":304192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, John","contributorId":78440,"corporation":false,"usgs":true,"family":"Weber","given":"John","affiliations":[],"preferred":false,"id":304194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ragona, Daniel","contributorId":79586,"corporation":false,"usgs":true,"family":"Ragona","given":"Daniel","affiliations":[],"preferred":false,"id":304195,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98102,"text":"ofr20091279 - 2009 - Hurricane Gustav: Observations and analysis of coastal change","interactions":[],"lastModifiedDate":"2023-12-07T14:34:51.14829","indexId":"ofr20091279","displayToPublicDate":"2010-01-15T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1279","title":"Hurricane Gustav: Observations and analysis of coastal change","docAbstract":"Understanding storm-induced coastal change and forecasting these changes require knowledge of the physical processes associated with a storm and the geomorphology of the impacted coastline. The primary physical processes of interest are the wind field, storm surge, currents, and wave field. Not only does wind cause direct damage to structures along the coast, but it is ultimately responsible for much of the energy that is transferred to the ocean and expressed as storm surge, mean currents, and surface waves. Waves and currents are the processes most responsible for moving sediments in the coastal zone during extreme storm events. Storm surge, which is the rise in water level due to the wind, barometric pressure, and other factors, allows both waves and currents to attack parts of the coast not normally exposed to these processes.
Coastal geomorphology, including shapes of the shoreline, beaches, and dunes, is also a significant aspect of the coastal change observed during extreme storms. Relevant geomorphic variables include sand dune elevation, beach width, shoreline position, sediment grain size, and foreshore beach slope. These variables, in addition to hydrodynamic processes, can be used to predict coastal vulnerability to storms.
The U.S. Geological Survey (USGS) National Assessment of Coastal Change Hazards project (http://coastal.er.usgs.gov/hurricanes) strives to provide hazard information to those concerned about the Nation’s coastlines, including residents of coastal areas, government agencies responsible for coastal management, and coastal researchers. As part of the National Assessment, observations were collected to measure morphological changes associated with Hurricane Gustav, which made landfall near Cocodrie, Louisiana, on September 1, 2008. Methods of observation included oblique aerial photography, airborne topographic surveys, and ground-based topographic surveys. This report documents these data-collection efforts and presents qualitative and quantitative descriptions of hurricane-induced changes to the shoreline, beaches, dunes, and infrastructure in the region that was heavily impacted by Hurricane Gustav.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091279","usgsCitation":"Doran, K., Stockdon, H.F., Plant, N.G., Sallenger, A., Guy, K.K., and Serafin, K.A., 2009, Hurricane Gustav: Observations and analysis of coastal change: U.S. Geological Survey Open-File Report 2009-1279, vii, 28 p., https://doi.org/10.3133/ofr20091279.","productDescription":"vii, 28 p.","onlineOnly":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":13339,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1279/","linkFileType":{"id":5,"text":"html"}},{"id":403717,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_90304.htm","linkFileType":{"id":5,"text":"html"}},{"id":125626,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1279.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91,\n 28.9167\n ],\n [\n -88,\n 28.9167\n ],\n [\n -88,\n 30.5\n ],\n [\n -91,\n 30.5\n ],\n [\n -91,\n 28.9167\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697bfd","contributors":{"authors":[{"text":"Doran, Kara S. 0000-0001-8050-5727","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":33010,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","affiliations":[],"preferred":false,"id":304173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":304172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":45010,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":304174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Serafin, Katherine A.","contributorId":84466,"corporation":false,"usgs":true,"family":"Serafin","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304175,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98105,"text":"ofr20091003 - 2009 - Digital Seismic-Reflection Data from Eastern Rhode Island Sound and Vicinity, 1975-1980","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20091003","displayToPublicDate":"2010-01-15T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1003","title":"Digital Seismic-Reflection Data from Eastern Rhode Island Sound and Vicinity, 1975-1980","docAbstract":"During 1975 and 1980, the U.S. Geological Survey (USGS) conducted two seismic-reflection surveys in Rhode Island Sound (RIS) aboard the research vessel Asterias: cruise ASTR75-June surveyed eastern RIS in 1975 and cruise AST-80-6B surveyed southern RIS in 1980. Data from these surveys were recorded in analog form and archived at the USGS Woods Hole Coastal and Marine Science Center's Data Library. In response to recent interest in the geology of RIS and in an effort to make the data more readily accessible while preserving the original paper records, the seismic data from these cruises were scanned and converted to black and white Tagged Image File Format and grayscale Portable Network Graphics images and SEG-Y data files. Navigation data were converted from U.S. Coast Guard Long Range Aids to Navigation time delays to latitudes and longitudes that are available in Environmental Systems Research Institute, Inc., shapefile format and as eastings and northings in space-delimited text format. This report complements two others that contain analog seismic-reflection data from RIS (McMullen and others, 2009) and Long Island and Block Island Sounds (Poppe and others, 2002) and were converted into digital form.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091003","usgsCitation":"McMullen, K., Poppe, L., and Soderberg, N., 2009, Digital Seismic-Reflection Data from Eastern Rhode Island Sound and Vicinity, 1975-1980: U.S. Geological Survey Open-File Report 2009-1003, 2 DVD-ROMs, https://doi.org/10.3133/ofr20091003.","productDescription":"2 DVD-ROMs","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1975-01-01","temporalEnd":"1980-12-31","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":125648,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1003.jpg"},{"id":13344,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1003/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.98324394226069, 41.045820236206055], [-71.12874794006342, 41.04593467712412], [-71.42366027832031, 41.086191177368214], [-71.41467101953401, 41.10125099950301], [-71.22406629467042, 41.11094803989816], [-71.32592394990667, 41.19956419995383], [-71.3137010312783, 41.208731388925116], [-71.20063903396607, 41.11807807576481], [-71.1048928380439, 41.13539387715486], [-71.17924892636643, 41.197527046849125], [-71.21897341190856, 41.3992052042169], [-71.20931434631348, 41.44528770446788], [-71.07127654421203, 41.48671911346889], [-70.9614337980106, 41.40059408073864], [-70.86673353219801, 41.41761884762627], [-70.78231906304671, 41.447766872323186], [-70.69754991125188, 41.49848649034265], [-70.65424156188965, 41.49388694763187], [-70.63193362220568, 41.46911876746139], [-70.70499824676523, 41.42833026345966], [-70.77345199695935, 41.35810310004819], [-70.79225017706443, 41.37264508843145], [-70.84616193887541, 41.34568920752594], [-70.80746848475411, 41.279013171038], [-70.85330442961043, 41.23114007307697], [-70.8278400158013, 41.190397010982494], [-70.74635389161229, 41.208731388925116], [-70.69440648744187, 41.300403278637646], [-70.4570781507414, 41.30447758484699], [-70.42549324035645, 41.37813377380376], [-70.42486381530756, 41.32419395446787], [-70.4478530883789, 41.28872108459471], [-70.83382225036621, 41.05370521545409], [-70.98324394226069, 41.045820236206055]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.42366027832031, 41.044572830200174, -70.4245300292968, 41.50225257873547], \"type\": \"Feature\", \"id\": \"3091908\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b45f4","contributors":{"authors":[{"text":"McMullen, K. 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